Method, interaction device, server, and system for speech recognition

ABSTRACT

A method, an apparatus, and a system for speech recognition are provided. A third-party application corresponding to a speech signal of a user can be determined according to the speech signal and by means of semantic analysis; and third-party application registry information is searched for and a third-party program is started, so that the user does not need to tap the third-party application to start the corresponding program, thereby providing more intelligent service for the user and facilitating use for the user.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.14/792,502, filed on Jul. 6, 2015, which is a continuation ofInternational Application No. PCT/CN2013/090033, filed on Dec. 20, 2013,which claims priority to Chinese Patent Application No. 201310003504.4,filed on Jan. 6, 2013. All of the afore-mentioned patent applicationsare hereby incorporated by reference in their entireties.

TECHNICAL FIELD

Embodiments of the present invention relate to the field of interactiondevice applications, and in particular, to a method, an interactiondevice, a server, and a system for speech recognition.

BACKGROUND

In the prior art, a user can flexibly and independently download variousapplications for an interaction device (User Equipment, UE for short).However, not all these applications are provided by terminalmanufacturers. An application that does not come with an interactiondevice but is acquired by a user is referred to as a third-partyapplication, for example, applications in the App store of Apple and theAndroid market. A third-party application may also be a program that isnot authorized to start by means of speech before delivery of a device.A third-party application is a program set or an instruction set that isindependent of an operating system but can be invoked and executed in anoperating environment of an operating system. With a large number ofthird-party applications, applications available for users to select areenriched significantly. Currently, two most common operating systems ofinteraction devices are the Android operating system and the Appleoperating system (iOS for short), both of which can support third-partyapplications. On the Android platform, a third party can upload adeveloped application to the Android market for sale; on the iOSplatform, a third party can upload a developed application to the Appstore for sale.

A user of an interaction device can download applications in the Androidmarket or the App store to the interaction device by connecting to anetwork, where these applications may be free of charge or chargeable,and these applications include the most common software, for example,map, social messaging software QQ, instant messaging software Skype, orshopping software Taobao. The foregoing applications are presented on aterminal as icons. When the user needs to start a third-partyapplication, the user taps a corresponding icon on the touchscreen totrigger starting of the third-party application.

For the interaction device, how to start a third-party application moreintelligently by means of speech recognition without tapping acorresponding icon but is a difficult problem.

SUMMARY

In view of this, embodiments of the present invention provide a method,an interaction device, a server, and a system for speech recognition, soas to solve a problem of starting, by means of speech recognition, athird-party application.

According to a first aspect, a speech recognition method is provided,including: parsing one or more first texts to obtain first targetsemantics, where the first text is obtained through conversion from afirst speech signal; determining, according to the acquired first targetsemantics, a third-party application object corresponding to the firsttarget semantics, where a third-party application that is associatedwith the third-party application object is a program that is notauthorized to start by means of speech before delivery of a device; andacquiring, from a third-party application registry, a third-partyapplication that is associated with the determined third-partyapplication object and starting the third-party application.

In a first possible implementation manner, before the parsing the firsttext to obtain first target semantics, the method further includes:acquiring first speech signals and converting the first speech signalsto obtain the one or more first texts.

With reference to the first aspect or the first possible implementationmanner, in a second possible implementation manner, the method furtherincludes: converting the first speech signals to obtain at least twofirst texts; and scoring semantics of each first text of the at leasttwo first texts according to a predetermined scoring rule and accordingto naturalness and coherence of the semantics of the at least two firsttexts, where a higher score represents better naturalness and coherenceof the semantics.

With reference to the second possible implementation manner of the firstaspect, in a third possible implementation manner, the method furtherincludes: acquiring, from the semantics of the at least two first texts,semantics, with a highest score, the first text and exceeds a presetthreshold as the first target semantics.

With reference to the third possible implementation manner of the firstaspect, in a fourth possible implementation manner, the method furtherincludes: determining, according to the first target semantics, allthird-party application objects corresponding to the first targetsemantics; if the number of the third-party application objects isgreater than or equal to two, acquiring information about all thethird-party application objects that are associated with the firsttarget semantics; sending prompt information, where the promptinformation includes the information about the third-party applicationobjects and is used to prompt a user to further send, according to theinformation about the third-party application objects, a selectioninstruction, so as to select a target third-party application objectfrom all the third-party application objects that are associated withthe first target semantics; and receiving the selection instruction, andselecting a corresponding target third-party application objectaccording to the selection instruction; and correspondingly, theacquiring, from a third-party application registry, a third-partyapplication that is associated with the determined third-partyapplication object and starting the third-party application specificallyincludes: acquiring, from the third-party application registry, athird-party application that is associated with the target third-partyapplication object and starting the third-party application.

With reference to the fourth possible implementation manner of the firstaspect, in a fifth possible implementation manner, when the selectioninstruction is a second speech signal, correspondingly, the selecting acorresponding target third-party application object according to thereceived selection instruction specifically includes: converting thesecond speech signal to obtain a second text; parsing the second text toacquire second target semantics; and determining a corresponding targetthird-party application object according to the second target semantics.

With reference to the first aspect or the foregoing possibleimplementation manners of the first aspect, in a sixth possibleimplementation manner, the method further includes: before theacquiring, from a third-party application registry, a third-partyapplication that is associated with the determined third-partyapplication object and starting the third-party application, generatingthe third-party application registry.

With reference to the first aspect or the foregoing possibleimplementation manners of the first aspect, in a seventh possibleimplementation manner, after the starting the third-party application,the method further includes: sending a semantics command of the firsttarget semantics to the third-party application, so that the third-partyapplication invokes, according to the semantics command of the firsttarget semantics, a third-party application interface (API) that matchesthe started third-party application.

With reference to the first aspect or the foregoing possibleimplementation manners of the first aspect, in an eighth possibleimplementation manner, the method further includes: receiving, by thethird-party application, a third speech signal of the user; convertingthe third speech signal to obtain a third text; and invoking, accordingto a semantics command of the third text, a third-party applicationinterface (API) that matches the started third-party application, sothat the started third-party application acquires a required hardware orsoftware resource by using the API.

With reference to the first aspect or the foregoing possibleimplementation manners of the first aspect, in a ninth possibleimplementation manner, the method is executed by an interaction device.

With reference to the first aspect or the foregoing possibleimplementation manners of the first aspect, in a ninth possibleimplementation manner, the parsing one or more first texts to obtainfirst target semantics is executed by a server; and the determining,according to the acquired first target semantics, a third-partyapplication object corresponding to the first target semantics and theacquiring, from a third-party application registry, a third-partyapplication that is associated with the determined third-partyapplication object and starting the third-party application are executedby an interaction device.

According to a second aspect, an interaction device for speechrecognition is provided, including a parsing unit, a determining unit, astarting unit, and a storage unit, where: the parsing unit is configuredto parse one or more first texts sent by a speech recognizing unit toobtain first target semantics, where the first text is obtained throughconversion from a first speech signal; the determining unit isconfigured to determine, according to the first target semanticsacquired by the parsing unit, a third-party application objectcorresponding to the first target semantics, where a third-partyapplication that is associated with the third-party application objectis a program that is not authorized to start by means of speech beforedelivery of a device; the starting unit is configured to access thestorage unit, acquire, from a third-party application registry stored bythe storage unit, a third-party application that is associated with thethird-party application object determined by the determining unit, andstart the third-party application; and the storage unit is configured tostore the third-party application registry and the third-partyapplication.

In a first possible implementation manner, the interaction devicefurther includes the speech recognizing unit, configured to convert thefirst speech signals to obtain the one or more first texts and send theone or more first texts to the parsing unit.

With reference to the second aspect or the first possible implementationmanner of the second aspect, in a second possible implementation manner,the interaction device further includes a speech recognizing unit,where: the speech recognizing unit is configured to convert the firstspeech signals to obtain at least two first texts and sends the at leasttwo first texts to the parsing unit; and the parsing unit isspecifically configured to score semantics of each first text of the atleast two first texts according to a predetermined scoring rule andaccording to naturalness and coherence of the semantics of the at leasttwo first texts, where a higher score represents better naturalness andcoherence of the semantics, and acquire, from the semantics of the atleast two first texts, semantics with a highest score and of the firsttext as the first target semantics.

With reference to the second possible implementation manner of thesecond aspect, in a third possible implementation manner, the parsingunit is specifically configured to acquire, from the semantics of the atleast two first texts, semantics, with a highest score, of the firsttext and exceeds a preset threshold as the first target semantics.

With reference to the second aspect or the foregoing possibleimplementation manners of the second aspect, in a fourth possibleimplementation manner, the interaction device further includes a sendingunit and a receiving unit, where: the determining unit is specificallyconfigured to determine, according to the first target semantics, allthird-party application objects corresponding to the first targetsemantics, and if the number of the third-party application objects isgreater than or equal to two, acquire information about all thethird-party application objects that are associated with the firsttarget semantics; the sending unit is configured to send promptinformation, where the prompt information includes the information aboutthe third-party application objects and is used to prompt a user tofurther send, according to the information about the third-partyapplication objects, a selection instruction, so that the determiningunit selects a target third-party application object from all thethird-party application objects that are associated with the firsttarget semantics; the receiving unit is configured to receive theselection instruction sent by the user; the determining unit isspecifically configured to select a corresponding target third-partyapplication object according to the received selection instruction; andthe starting unit acquires, from the third-party application registrystored by the storage unit, a third-party application that is associatedwith the target third-party application object and starts thethird-party application.

With reference to the fourth possible implementation manner of thesecond aspect, in a fifth possible implementation manner, the speechrecognizing unit is further configured to, when the selectioninstruction is a second speech signal, convert the second speech signalto obtain a second text and send the second text to the parsing unit;the parsing unit further is configured to parse the second text toacquire second target semantics; and the determining unit is furtherconfigured to determine a corresponding target third-party applicationobject according to the second target semantics.

With reference to the foregoing possible implementation manners of thesecond aspect, in a sixth possible implementation manner, theinteraction device further includes a generating unit, where before thestarting unit acquires, from the third-party application registry, thethird-party application that is associated with the determinedthird-party application object and starts the third-party application,the generating unit generates the third-party application registry andsends the third-party application registry to the storage unit.

With reference to the second aspect or the foregoing possibleimplementation manners of the second aspect, in a seventh possibleimplementation manner, after starting the third-party application, thestarting unit sends a semantics command of the first target semantics tothe third-party application, so that the third-party applicationinvokes, according to the semantics command of the first targetsemantics, a third-party application interface (API) that matches thestarted third-party application.

According to a third aspect, a server for speech recognition isprovided, including a parsing unit, a determining unit, a starting unit,and a storage unit, where: the parsing unit is configured to parse oneor more first texts to obtain first target semantics, where the firsttext is obtained through conversion from a first speech signal; thedetermining unit is configured to determine, according to the firsttarget semantics acquired by the parsing unit, a third-party applicationobject corresponding to the first target semantics, where a third-partyapplication that is associated with the third-party application objectis a program that is not authorized to start by means of speech beforedelivery of a device; the starting unit is configured to acquire, from athird-party application registry stored by the storage unit, athird-party application that is associated with the third-partyapplication object determined by the determining unit and start thethird-party application; and the storage unit is configured to store thethird-party application registry and the third-party application.

In a first possible implementation manner, the parsing unit isspecifically configured to: score, according to a predetermined scoringrule and according to naturalness and coherence of semantics of at leasttwo first texts that are obtained through conversion from the firstspeech signal, semantics of each first text of the at least two firsttexts, where a higher score represents better naturalness and coherenceof the semantics; and acquire, from the semantics of the at least twofirst texts, semantics with a highest score and of the first text as thefirst target semantics.

With reference to the first possible implementation manner of the thirdaspect, in a second possible implementation manner, the parsing unit isspecifically configured to acquire, from the semantics of the at leasttwo first texts, semantics, with a highest score, of the first text andexceeds a preset threshold as the first target semantics.

With reference to the third aspect or the foregoing possibleimplementation manners of the third aspect, in a third possibleimplementation manner, the server further includes a sending unit and areceiving unit, where: the determining unit is specifically configuredto determine, according to the first target semantics, all third-partyapplication objects corresponding to the first target semantics, and ifthe number of the third-party application objects is greater than orequal to two, acquire information about all the third-party applicationobjects that are associated with the first target semantics; the sendingunit is configured to send prompt information, where the promptinformation includes the information about the third-party applicationobjects and is used to prompt a user to further send, according to theinformation about the third-party application objects, a selectioninstruction, so that the determining unit selects a target third-partyapplication object from all the third-party application objects that areassociated with the first target semantics; the receiving unit isconfigured to receive the selection instruction sent by the user; thedetermining unit is specifically configured to select a correspondingtarget third-party application object according to the receivedselection instruction; and the starting unit acquires, from thethird-party application registry stored by the storage unit, athird-party application that is associated with the target third-partyapplication object and starts the third-party application.

With reference to the third possible implementation manner of the thirdaspect, in a fourth possible implementation manner, the parsing unit isfurther configured to, when the selection instruction is a second speechsignal, parse a second text to acquire second target semantics, wherethe second text is obtained through conversion from the second speechsignals; and the determining unit is specifically configured todetermine a corresponding target third-party object according to thesecond target semantics.

With reference to the third aspect or the foregoing possibleimplementation manners of the third aspect, in a fifth possibleimplementation manner, the server further includes a generating unit,where before the starting unit acquires, from the third-partyapplication registry, the third-party application that is associatedwith the determined third-party application object and starts thethird-party application, the generating unit generates the third-partyapplication registry and sends the third-party application registry tothe storage unit.

With reference to the third aspect or any one of the foregoing possibleimplementation manners of the third aspect, in a sixth possibleimplementation manner, after starting the third-party application, thestarting unit sends a semantics command of the first target semantics tothe third-party application, so that the third-party applicationinvokes, according to the semantics command of the first targetsemantics, a third-party application interface (API) that matches thestarted third-party application.

With reference to the third aspect or the foregoing possibleimplementation manners of the third aspect, in a seventh possibleimplementation manner, after the starting unit starts the third-partyapplication, so that the third-party application converts third speechsignal to obtain a third text and invokes, according to a semanticscommand of the third text, a third-party application interface (API)that matches the started third-party application, so that the startedthird-party application acquires a required hardware or softwareresource by using the API.

With reference to the third aspect or the foregoing possibleimplementation manners of the third aspect, in an eighth possibleimplementation manner, the receiving unit is further configured to,before the first text is parsed to obtain the first target semantics,receive the first text sent by an interaction device.

With reference to the third aspect or the foregoing possibleimplementation manners of the third aspect, in a ninth possibleimplementation manner, the sending unit is further configured to send aresponse feedback to the interaction device after the third-partyapplication is started.

According to a fourth aspect, an apparatus for speech recognition isprovided, including a processor and a memory, where: the processorparses one or more first texts to obtain first target semantics, wherethe first text is obtained through conversion from a first speechsignal; determines, according to the acquired first target semantics, athird-party application object corresponding to the first targetsemantics, where a third-party application that is associated with thethird-party application object is a program that is not authorized tostart by means of speech before delivery of a device; and accesses thememory, acquires, from a third-party application registry stored by thememory, a third-party application that is associated with the determinedthird-party application object, and starts the third-party application;the memory stores the third-party application registry and thethird-party application; and the processor executes an instruction ofthe foregoing method.

In a first possible implementation manner, before parsing the first textto obtain the first target semantics, the processor acquires the firstspeech signals and converts the first speech signals to obtain the oneor more first texts.

With reference to the fourth aspect or the first possible implementationmanner, in a second possible implementation manner, the processorconverts the first speech signals to obtain at least two first texts andscores semantics of each first text of the at least two first textsaccording to a predetermined scoring rule and according to naturalnessand coherence of the semantics of the at least two first texts, where ahigher score represents better naturalness and coherence of thesemantics.

With reference to the second possible implementation manner of thefourth aspect, in a third possible implementation manner, the processoracquires, from the semantics of the at least two first texts, semantics,with a highest score, of the first text and exceeds a preset thresholdas the first target semantics.

With reference to the third possible implementation manner of the fourthaspect, in a fourth possible implementation manner, the processordetermines, according to the first target semantics, all third-partyapplication objects corresponding to the first target semantics; if thenumber of the third-party application objects is greater than or equalto two, acquires all information about the third-party applicationobjects that are associated with the first target semantics; sendsprompt information, where the prompt information includes theinformation about the third-party application objects and is used toprompt a user to further send, according to the information about thethird-party application objects, a selection instruction, so as toselect a target third-party application object from all the third-partyapplication objects that are associated with the first target semantics;and receives the selection instruction, and selects a correspondingtarget third-party application object according to the selectioninstruction; correspondingly, the acquiring, from a third-partyapplication registry, a third-party application that is associated withthe determined third-party application object and starting thethird-party application specifically includes: acquiring, from thethird-party application registry, a third-party application that isassociated with the target third-party application object and startingthe third-party application.

With reference to the fourth possible implementation manner of thefourth aspect, in a fifth possible implementation manner, when theselection instruction is a second speech signal, correspondingly, thatthe processor selects the corresponding target third-party applicationobject according to the received selection instruction specificallyincludes: converting the second speech signal to obtain a second text;parsing the second text to acquire second target semantics; anddetermining a corresponding target third-party application objectaccording to the second target semantics.

With reference to the fourth aspect or the foregoing possibleimplementation manners of the fourth aspect, in a sixth possibleimplementation manner, before acquiring, from the third-partyapplication registry, the third-party application that is associatedwith the determined third-party application object and starting thethird-party application, the processor generates the third-partyapplication registry and sends the third-party application registry tothe memory.

With reference to the fourth aspect or the foregoing possibleimplementation manners of the fourth aspect, in a seventh possibleimplementation manner, after starting the third-party application, theprocessor further includes: sending a semantics command of the firsttarget semantics to the third-party application, so that the third-partyapplication invokes, according to the semantics command of the firsttarget semantics, a third-party application interface (API) that matchesthe started third-party application.

With reference to the fourth aspect or the foregoing possibleimplementation manners of the fourth aspect, in an eighth possibleimplementation manner, after the processor starts the third-partyapplication, so that the third-party application receives a third speechsignal of the user, converts the third speech signal to obtain a thirdtext, and invokes, according to a semantics command of the third text, athird-party application interface (API) that matches the startedthird-party application, so that the started third-party applicationacquires a required hardware or software resource by using the API.

According to a fifth aspect, a system for speech recognition isprovided, providing any one of the foregoing interaction device, server,or apparatus.

According to the foregoing technical solutions, a third-partyapplication corresponding to a speech signal of a user can be determinedaccording to the speech signal and by means of semantic analysis; andthird-party application registry information is searched for and athird-party program is started, so that the user does not need to tapthe third-party application to start the corresponding program, therebyproviding more intelligent service for the user and facilitating use forthe user.

BRIEF DESCRIPTION OF DRAWINGS

To describe the technical solutions in the embodiments of the presentinvention more clearly, the following briefly introduces theaccompanying drawings required for describing the embodiments of thepresent invention. Apparently, the accompanying drawings in thefollowing description show merely some embodiments of the presentinvention, and a person of ordinary skill in the art may still deriveother drawings from these accompanying drawings without creativeefforts.

FIG. 1 is a schematic flowchart of a speech recognition method accordingto a first embodiment of the present invention;

FIG. 2 is a schematic flowchart of a speech recognition method accordingto a second embodiment of the present invention;

FIG. 3 is a schematic diagram of invoking, after a third-partyapplication is started, an interaction device according to an embodimentof the present invention;

FIG. 4 is a schematic diagram of a third-party application supporting aspeech recognition function according to a third embodiment of thepresent invention;

FIG. 5 is a schematic architecture diagram of a system for speechrecognition according to a fourth embodiment of the present invention;

FIG. 6 is a schematic flowchart of a speech recognition method accordingto a fifth embodiment of the present invention;

FIG. 7 is a schematic block diagram of an interaction device for speechrecognition according to a seventh embodiment of the present invention;

FIG. 8 is a schematic block diagram of an interaction device for speechrecognition according to an eighth embodiment of the present invention;

FIG. 9 is a schematic block diagram of a server for speech recognitionaccording to a ninth embodiment of the present invention;

FIG. 10 is a schematic block diagram of a server for speech recognitionaccording to a tenth embodiment of the present invention; and

FIG. 11 is a schematic block diagram of an apparatus for speechrecognition according to an eleventh embodiment of the presentinvention.

DESCRIPTION OF EMBODIMENTS

The following clearly and completely describes the technical solutionsin the embodiments of the present invention with reference to theaccompanying drawings in the embodiments of the present invention.Apparently, the described embodiments are a part rather than all of theembodiments of the present invention. All other embodiments obtained bya person of ordinary skill in the art based on the embodiments of thepresent invention without creative efforts shall fall within theprotection scope of the present invention.

The term “and/or” in this specification describes only an associationrelationship for describing associated objects and represents that threerelationships may exist. For example, A and/or B may represent thefollowing three cases: Only A exists, both A and B exist, and only Bexists. In addition, the character “/” in this specification generallyindicates an “or” relationship between the associated objects.

Speech recognition technologies are technologies that enable a machine,that is, an apparatus, to convert a speech signal into a correspondingtext or command by using recognition and understanding processes. Thespeech recognition technologies mainly include three aspects: featureextraction technologies, pattern matching criteria, and model trainingtechnologies.

In the prior art, the speech recognition technologies generally output arecognition result in a form of text or command. In an entire speechrecognition process, a speech signal is input and processed, and thentext content is output or a command is output to drive another device,which changes a conventional manner of mouse or keyboard input.

In the prior art, an interaction device may include, for example, asmart phone, a tablet computer (Tablet PC), and a game console. Theforegoing interaction device generally has a speech recognitionfunction, and accuracy of conversion from speech to a text by the speechrecognition function is continuously improved. However, when athird-party application is started on the interaction device, theapplication can be invoked only by means of tapping or mouse clicking.Therefore, a user hopes to improve an intelligence level of theinteraction device, for example, the third-party application can bedirectly started by speech recognition. An embodiment of the presentinvention provides such a method, which can implement an issue that athird-party application is directly started according to a speech signalof a user.

FIG. 1 is a schematic flowchart of a speech recognition method accordingto a first embodiment of the present invention, which includes thefollowing content.

S11. Parse one or more first texts to obtain first target semantics,where the first text is obtained through conversion from a first speechsignal.

S12. Determine, according to the acquired first target semantics, athird-party application object corresponding to the first targetsemantics, where a third-party application that is associated with thethird-party application object is a program that is not authorized tostart by means of speech before delivery of a device.

S11 and S12 are also referred to as semantic analysis in a context.

S13. Acquire, from a third-party application registry, a third-partyapplication that is associated with the determined third-partyapplication object and start the third-party application.

In a different embodiment, a third-party application may be downloadedonto an interaction device of a user, or may be downloaded onto aserver; a speech recognition function that converts a speech signal intoa text may be built in the interaction device, or may be placed on theserver; and parsing a text to obtain target semantics, determining athird-party application object corresponding to the target semantics,and starting a third-party application may be executed by theinteraction device, or may be executed by the server. The server is usedto provide support service for the interaction device, which isdifferent from a third-party server that provides support for athird-party application in the following.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

Optionally, in a different embodiment, before the parsing the first textto obtain first target semantics, the method further includes: acquiringfirst speech signals and converting the first speech signals to obtainthe one or more first texts.

Optionally, in a different embodiment, the method further includes:converting the first speech signals to obtain at least two first texts;and correspondingly, scoring semantics of each first text of the atleast two first texts according to a predetermined scoring rule andaccording to naturalness and coherence of the semantics of the at leasttwo first texts, where a higher score represents better naturalness andcoherence of the semantics; and acquiring, from the semantics of the atleast two first texts, semantics with a highest score and of the firsttext as the first target semantics.

Optionally, in a different embodiment, the acquiring, from the semanticsof the at least two first texts, semantics with a highest score and ofthe first text as the first target semantics includes: acquiring, fromthe semantics of the at least two first texts, semantics, with a highestscore, of the first text and exceeds a preset threshold as the firsttarget semantics.

Optionally, in a different embodiment, the determining, according to theacquired first target semantics, a third-party application objectcorresponding to the first target semantics specifically includes:determining, according to the first target semantics, all third-partyapplication objects corresponding to the first target semantics; if thenumber of the third-party application objects is greater than or equalto two, acquiring information about all the third-party applicationobjects that are associated with the first target semantics; sendingprompt information, where the prompt information includes theinformation about the third-party application objects and is used toprompt a user to further send, according to the information about thethird-party application objects, a selection instruction, so as toselect a target third-party application object from all the third-partyapplication objects that are associated with the first target semantics;and receiving the selection instruction, and selecting a correspondingtarget third-party application object according to the receivedselection instruction; and correspondingly, the acquiring, from athird-party application registry, a third-party application that isassociated with the determined third-party application object andstarting the third-party application specifically includes: acquiring,from the third-party application registry, a third-party applicationthat is associated with the target third-party application object andstarting the third-party application.

Optionally, in a different embodiment, the selection instruction is asecond speech signal; and correspondingly, the selecting a correspondingtarget third-party application object according to the receivedselection instruction specifically includes: converting the secondspeech signal to obtain a second text; parsing the second text toacquire second target semantics; and determining a corresponding targetthird-party application object according to the second target semantics.

Optionally, in a different embodiment, before the acquiring, from athird-party application registry, a third-party application that isassociated with the determined third-party application object andstarting the third-party application, the method further includes:generating the third-party application registry.

Optionally, in a different embodiment, after the starting thethird-party application, the method further includes: sending asemantics command of the first target semantics to the third-partyapplication, so that the third-party application invokes, according tothe semantics command of the first target semantics, a third-partyapplication interface API that matches the started third-partyapplication.

Optionally, in a different embodiment, after the starting thethird-party application, the method further includes: converting, by thethird-party application, the third speech signal to obtain a third text;and invoking, according to a semantics command of the third text, athird-party application interface API that matches the startedthird-party application, so that the started third-party applicationacquires a required hardware or software resource by using the API.

Optionally, in a different embodiment, the method is executed by aninteraction device.

Optionally, in a different embodiment, according to the method, theparsing one or more first texts to obtain first target semantics isexecuted by a server; and the determining, according to the acquiredfirst target semantics, a third-party application object correspondingto the first target semantics and the acquiring, from a third-partyapplication registry, a third-party application that is associated withthe determined third-party application object and starting thethird-party application are executed by an interaction device.

FIG. 2 is a schematic flowchart of a speech recognition method accordingto a second embodiment of the present invention. In the secondembodiment, an interaction device executes this method, and a userdownloads a third-party application to the interaction device. Theinteraction device includes at least a speech recognizing unit, aparsing unit, a determining unit, a starting unit, a storage unit, andthe like.

S21. The interaction device receives a first speech signal.

Here, the first speech signal is words of a user, for example, “Is oldHu online”. The interaction device may receive the first speech signalby using a microphone.

S22. The interaction device converts the first speech signal to obtainone or more first texts.

After receiving the first signal, a speech recognizing unit of theinteraction device converts speech waveforms into a text (Speech totext), where the text is corresponding to the foregoing first text. Afirst text output by the speech recognizing unit after conversion may be“Is old Hu online”, “Is old Hu first”, and/or “Is Tiger online” and issent to a determining unit for processing. In this embodiment of thepresent invention, the interaction device includes the speechrecognizing unit, the parsing unit, the determining unit, and thestarting unit, which separately execute a specific step in the secondembodiment of the present invention. In another embodiment, the speechrecognizing unit and the parsing unit, the determining unit, and thestarting unit may be included in different devices.

S23. The interaction device separately scores semantics of at least twofirst texts according to a predetermined scoring rule and according tonaturalness and coherence of the semantics of the at least two firsttexts.

The parsing unit of the interaction device lists corresponding optionalsemantics according to the first text, for example, “old Hu” exists inan address book of the interaction device, and a word, such as “online”,whose occurrence probability is high, exists in previous speech input ofthe user. The parsing unit sorts multiple combinations, for example, “Isold Hu online”, “Is old Hu first”, and “Is Tiger online”, and scoreseach combination according to naturalness and coherence of thesemantics, where a higher score represents better naturalness andcoherence of the semantics.

Optionally, in a different embodiment, the parsing unit may set ascoring threshold, and score various combinations of the semantics ofthe first text according to the predetermined scoring rule. The parsingunit performs a task analysis and accesses a storage unit only when ascore of semantics of the first text is the highest and exceeds apredetermined threshold.

S28. When the interaction device converts the first speech signal andobtains only one first text, it directly determines first targetsemantics by using the semantics of the first text. The scoringprocesses S23 and S24 can be skipped; instead, the step S25 andsubsequent steps are executed.

S24. The interaction device acquires, from the semantics of the at leasttwo first texts, semantics with a highest score and of a first text asfirst target semantics.

Optionally, in an embodiment, if the parsing unit of the interactiondevice acquires only one piece of semantics with the highest score, forexample, “Old Hu is online”, of a first text, S25 is executed next.

In another embodiment, when no first text has a semantics scoreexceeding the predetermined threshold, or when two or more first textshave a semantics score exceeding the predetermined threshold, theparsing unit may feed back, to the speech recognizing unit according toa context, a command indicating that more information needs to be input.Optionally, the parsing unit analyzes, according to a context of thesemantics, that “online” is closely related to text communication andspeech communication, that is, feeds back a command to the speechrecognizing unit, for example, “Do you hope to have online speechcommunication or online text communication”. The speech recognizing unitmay feed back the command to the user by means of speech or text, sothat the user inputs more requirements. For example, the user answers“speech”, and therefore a “speech” requirement is added; and the parsingunit uses “speech” and “online” as the first target semantics.

S25. The interaction device determines, according to the first targetsemantics, a third-party application object corresponding to the firsttarget semantics.

The determining unit of the interaction device determines a related taskaccording to the selected first target semantics, for example, a taskcorresponding to “online” is a social task; and the starting unit needsto start a corresponding third-party application, such as QQ and/orSkype. For ease of description, in this specification, a candidatethird-party application is referred to as a third-party applicationobject. The determining unit may select at its own, based on anassociation relationship between predefined semantics and a third-partyapplication or according to use frequency of a third-party application,to determine a third-party application object by using the first targetsemantics, which is not limited in the present invention.

In an embodiment, only one third-party application object correspondingto the first target semantics is determined according to the firsttarget semantics, for example, instant messaging software Skype.

In another embodiment, the interaction device may further include asending unit and a receiving unit. If the number of determinedthird-party application objects is greater than or equal to two, theinteraction device acquires information about all third-partyapplication objects that are associated with the first target semantics;the sending unit sends prompt information, where the prompt informationincludes the information about the third-party application objects andis used to prompt the user to further send, according to the informationabout the third-party application objects, a selection instruction, sothat the determining unit selects a target third-party applicationobject from all the third-party application objects that are associatedwith the first target semantics; and the receiving unit receives theselection instruction, and the determining unit selects a correspondingtarget third-party application object specifically according to thereceived selection instruction; correspondingly, the starting unitacquires a third-party application that is associated with the targetthird-party application object and starts the third-party application.

If at least two third-party application objects are found according tothe first target semantics, for example, the instant messaging softwareSkype and social messaging software QQ, the determining unit may feedback, to the speech recognizing unit according to a context, a commandindicating that more information needs to be input, for example, feedback a command to the speech recognizing unit, for example, “Do you hopeto have instant communication by Skype or social communication by QQ”.The speech recognizing unit may feed back the command to the user bymeans of speech or text, so that the user inputs more requirements. Ifthe user answers “Skype”, and therefore the parsing unit uses “Skype” assecond target semantics. Next, the determining unit determines,according to the second target semantics, that a target third-partyapplication object is the instant messaging software Skype.

S26. The interaction device acquires, from a third-party applicationregistry, a third-party application that is associated with thedetermined third-party application object and starts the third-partyapplication.

The starting unit of the interaction device searches a third-partyapplication registration information table for the determinedthird-party application and starts the third-party application.

After determining a specific third-party application, the starting unitaccesses the storage unit. The storage unit stores a third-partyapplication registration information table that is generated when theinteraction device is powered on or a third-party applicationregistration information table that is generated when a program isinstalled. The starting unit finds a corresponding program, for example,Skype, and starts the program. Different from a default applicationregistry that is provided with the interaction device before delivery,the third-party application registration information table may begenerated when a third-party application is installed, and may also begenerated when the interaction device is powered on after thethird-party application is installed, as long as the third-partyapplication registration information table is generated before athird-party application that is associated with the determinedthird-party application object is acquired from the third-partyapplication registry and the third-party application is started. In thisembodiment, the third-party application registration information tableis stored in the interaction device. In another embodiment, thethird-party application registration information table may also bestored in another device except the interaction device, or be stored inboth the interaction device and another device.

S27. After starting the third-party application, the interaction devicesends a semantics command of the first target semantics to thethird-party application, so that the third-party application invokes,according to the semantics command of the first target semantics, an API(Application Programming Interface) that matches the started third-partyapplication, and acquires a required hardware and/or software resourceby using the API.

FIG. 3 is a schematic diagram of invoking, after a third-partyapplication is started, an interaction device according to an embodimentof the present invention. After starting a third-party application 32,an interaction device 31 communicates with the third-party application32 by using a defined API 33. If a third-party application needs toenable video and voice chat functions, it invokes a camera (camera) 35and a microphone (microphone) 36 of the interaction device by using avideo API and an audio API interface that are predefined in an operatingsystem 34 of the interaction device. In an existing operating system ofan interaction device, thousands of APIs are defined to support variousthird-party applications, so as to implement different functions. Byusing these APIs, third-party applications are capable of communicatingwith a platform of the interaction device and invoking various resourcesof the interaction device.

For example, after a third-party application is started, the third-partyapplication receives a semantics command of a parsing unit, andcompletes a corresponding operation according to the semantics command.For example, after the third-party application QQ is started, theparsing unit sends a semantics command to QQ, where the command may alsobe transferred by a predefined API; after receiving the command, QQsearches a buddy list of QQ for a status of a communication object, thatis, a friend whose name is “Old Hu”, and feeds back the statusinformation to the parsing unit; and the parsing unit translates thestatus information into corresponding semantics, and outputs thesemantics to the user by using a speech recognizing unit, for example,finally outputs, for example, “Old Hu is not online” in a form of speechinformation to notify the user. In this process, the third-partyapplication may require user authentication, and a user account and apassword are required to be input, where this type of information is fedback by the third-party application to the user by using the parsingunit and the speech recognizing unit; and the user inputs acorresponding account and password by means of speech or keyboard.

In the second embodiment of the present invention, the user only needsto send a command by speech, and the interaction device can recognizethe speech, further perform semantic analysis, and finally start athird-party application; in addition, the interaction device may furtherfeed back status information related to the third-party application tothe user after starting the third-party application. This provides a newmethod for starting a third-party application and significantlyfacilitates use of the user.

Text information interacted between the foregoing units such as thespeech recognizing unit and the parsing unit may be decoded code and maybe presented to the user in a form of speech or onscreen text.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

FIG. 4 is a schematic architecture diagram of a third-party applicationsupporting a speech recognition function according to a third embodimentof the present invention. In the third embodiment, an interaction devicehas a speech recognition function, and a user downloads a third-partyapplication to the interaction device, where different from athird-party application in the second embodiment, the third-partyapplication itself also supports the speech recognition function and canexecute a related operation according to speech input of the user.Therefore, processes of recognizing and starting a correspondingthird-party application according to a speech signal of the user in thesecond embodiment are the same as that in the third embodiment, and forbrevity, details are not repeatedly described herein. A difference liesin a process of executing a task by the third-party application afterthe third-party application is started in the third embodiment.

Referring to FIG. 4, after a third-party application 41 is started,because the third-party application 41 itself has the speech recognitionfunction, it can directly receive a speech signal 42 of the user,recognize the speech signal 42 to obtain a corresponding command, andexecute a related operation. The third-party application receives thespeech signal 42 of the user, converts the speech signal 42 to obtain atext, completes parsing of semantics of the text, and executes a taskcorresponding to the semantics. Optionally, the third-party application41 may implement semantic analysis and task execution by using athird-party server 43 corresponding to the third-party application 41.When according to a semantics command of the text, the third-partyapplication 41 needs to invoke a resource of an interaction device 44,the third-party application 41 contacts the interaction device by usingan API 46 defined by an operating system 45 of the interaction device,and starts the related resource, for example, invokes a camera 47 and amicrophone 48 to perform video communication. For example, if thethird-party application started by the interaction device is QQ, and acorresponding third-party server is, for example, a server of Tencent,communication between the third-party application and the third-partyserver may be a private interface and a protocol that are defined by athird party. If the third-party application is a map and the third-partyapplication needs to invoke GPS information of the interaction device,address information of the interaction device can be queried by using acorresponding API, and for specific map information, corresponding mapinformation can be acquired by the third-party application by accessinga third-party server of the third-party application.

FIG. 5 is a schematic architecture diagram of a system 50 for speechrecognition according to a fourth embodiment of the present invention.The system 50 includes an interaction device 51 and a server 52. Theinteraction device 51 may include a speech recognizing unit 511, astorage unit 512, an operating system 513, a camera 514, a microphone515, and the like. The server 52 may include third-party applications522, a storage unit 523, a parsing unit, a determining unit, and astarting unit, where the parsing unit, the determining unit, and thestarting unit are marked as 521 in FIG. 5. The interaction device 51 isconnected to the server 52 by using a network 53. The operating system513 defines multiple APIs 516 that are used to support variousthird-party applications 522.

In the system for speech recognition in FIG. 5, the interaction devicehas only a speech recognition function. Functions of semantic analysisand starting of the third-party applications are completed by theserver, and the third-party applications are stored in the server.Optionally, these third-party applications do not support the speechrecognition function. The storage unit can be included in both theinteraction device and the server, or be placed on either of them. Whenthe starting unit accesses the storage unit, the starting unit mayalternatively select one storage unit. The interaction device isconnected to the server by using the network, where the network providesa pipe for communication between the interaction device and the server,which may be a wireless network or a wired network.

FIG. 6 is a schematic flowchart of a speech recognition method, based onthe architecture of the system 50 in FIG. 5, according to a fifthembodiment of the present invention.

S61. An interaction device converts a first speech signal to obtain oneor more first texts and sends the first text to a server.

Here, the first speech signals are words of a user, for example, “Is OldHu online”. After the first speech signal is received by a microphone ofthe interaction device, speech waveforms are converted into a first textby a speech recognizing unit of the interaction device. For example, afirst text output by the speech recognizing unit after conversion may be“Is old Hu online”, “Is old Hu first”, and/or “Is Tiger online” and issent to the server for processing.

S62. The server parses the one or more first texts to obtain firsttarget semantics. This step may include the following specific content.

In this embodiment, the server includes a parsing unit, a determiningunit, and a starting unit. The parsing unit of the server receives atleast two first texts that are sent by the interaction device and areobtained through conversion from the first speech signal, scoressemantics of each first text of the at least two first texts accordingto a predetermined scoring rule and according to naturalness andcoherence of the semantics of the at least two first texts, where ahigher score represents better naturalness and coherence of thesemantics, and acquires semantics with a highest and of the first textas the first target semantics.

Optionally, the parsing unit lists corresponding optional semanticsaccording to the first text, for example, “old Hu” exists in an addressbook of the interaction device, and a word, such as “online”, whoseoccurrence probability is high, exists in previous speech input of theuser. The parsing unit sorts multiple combinations, for example, “Is oldHu online”, “Is old Hu first”, and “Is Tiger online”, and scores eachcombination according to naturalness and coherence of the semantics,where a higher score represents better naturalness and coherence of thesemantics.

Optionally, in a different embodiment, the parsing unit may set ascoring threshold, score various combinations of the semantics of thefirst text according to the predetermined scoring rule, and in thesemantics of the at least two first texts, use semantics, with a highestscore, of the first text and exceeds a preset threshold as the firsttarget semantics.

In an embodiment, if there is only one piece of semantics with a highestscore, for example, “Old Hu is online”, the parsing unit uses thesemantics of the first text as the first target semantics.

In another embodiment, when no first text has a semantics scoreexceeding the predetermined threshold, or when two or more first textshave a semantics score exceeding the predetermined threshold, theparsing unit may feed back, to the speech recognizing unit of theinteraction device according to a context, a command indicating thatmore information needs to be input. As described in the foregoingembodiment, after the scoring, the semantics “online” does not meet thescoring threshold of the semantics. The parsing unit analyzes, accordingto a context of the semantics, that “online” is closely related to textcommunication and speech communication, that is, feeds back a command tothe speech recognizing unit, for example, “Do you hope to have onlinespeech communication or online text communication”. The speechrecognizing unit may feed back the command to the user by means ofspeech or text, so that the user inputs more requirements. For example,the user answers “speech”, and therefore a “speech” requirement isadded; and the parsing unit uses “speech” and “online” as the firsttarget semantics.

Optionally, in a different embodiment, when the interaction deviceconverts the first speech signal, obtains only one first text, and sendsthe first text to the server, the server directly determines the firsttarget semantics by using semantics of the first text, and furtherexecutes the step S63 and subsequent steps.

S63. The server determines, according to the first target semantics, athird-party application object corresponding to the first targetsemantics.

The determining unit determines a related task according to the selectedfirst target semantics, for example, a task corresponding to “online” isa social task; and the starting unit needs to start a correspondingthird-party application, such as QQ and/or Skype. For ease ofdescription, in this specification, a candidate third-party applicationis referred to as a third-party application object. The determining unitmay select at its own, based on an association relationship betweenpredefined semantics and a third-party application or according to usefrequency of a third-party application, to determine a third-partyapplication object by using the first target semantics, which is notlimited in the present invention.

In an embodiment, only one third-party application object correspondingto the first target semantics is determined according to the firsttarget semantics, for example, instant messaging software Skype.

In another embodiment, the server may further include a sending unit anda receiving unit. If the number of determined third-party applicationobjects is greater than or equal to two, the server acquires informationabout all third-party application objects that are associated with thefirst target semantics; the sending unit sends prompt information, wherethe prompt information includes the information about the third-partyapplication objects and is used to prompt the user to further send,according to the information about the third-party application objects,a selection instruction, so that the determining unit selects a targetthird-party application object from all the third-party applicationobjects that are associated with the first target semantics; and thereceiving unit receives the selection instruction, and the determiningunit selects a corresponding target third-party application objectaccording to the selection instruction; correspondingly, the startingunit acquires a third-party application that is associated with thetarget third-party application object and starts the third-partyapplication.

If at least two third-party application objects are found according tothe first target semantics, for example, the instant messaging softwareSkype and social messaging software QQ, the processing unit may feedback, to the speech recognizing unit according to a context, a commandindicating that more information needs to be input; the processing unitfeeds back a command to the speech recognizing unit, for example, “Doyou hope to have instant communication by Skype or social communicationby QQ”. The speech recognizing unit may feed back the command to theuser by means of speech or text, so that the user inputs morerequirements. For example, the user answers “Skype”, and therefore theparsing unit uses “Skype” as second target semantics. Next, thedetermining unit determines, according to the second target semantics,that a target third-party application object is the instant messagingsoftware Skype.

S64. The server acquires, from a third-party application registry, athird-party application that is associated with the determinedthird-party application object, starts the third-party application, andsends a response feedback to the interaction device.

The starting unit of the server may alternatively accesses a storageunit of the server or a storage unit of the interaction device, find adetermined third-party application according to a third-partyapplication registration information table, and start the third-partyapplication.

After determining a specific third-party application, the starting unitaccesses the storage unit. The storage unit of the interaction devicestores a third-party application registration information table, and thestorage unit of the server stores a third-party application and athird-party application registration information table. Different from adefault application registry that is provided with the interactiondevice before delivery, a third-party application registrationinformation table may be generated when a third-party application isinstalled, and may also be generated when the interaction device ispowered on after the third-party application is installed. In thisembodiment, when the third-party application registration informationtable is stored in the storage unit of the interaction device, thestarting unit of the server needs to access the storage unit of theinteraction device to acquire a third-party application and start thethird-party application.

S65. The interaction device receives the response feedback sent by theserver.

After the starting unit of the server starts the third-partyapplication, the sending unit sends a semantics command of the firsttarget semantics to the third-party application, so that the third-partyapplication invokes, according to the semantics command of the firsttarget semantics, an API (Application Programming Interface) thatmatches the started third-party application, and acquires a requiredhardware and/or software resource by using the API.

Optionally, after the third-party application is started, thethird-party application receives a semantics command of the parsingunit, and completes a corresponding operation according to the semanticscommand. For example, after the third-party application QQ is started,the parsing unit sends a semantics command to QQ, where the command mayalso be transferred by a predefined API; after receiving the command, QQsearches a buddy list of QQ for a status of a communication object, thatis, a friend whose name is “Old Hu”, and feeds back the statusinformation to the parsing unit; and the parsing unit translates thestatus information into corresponding semantics, and outputs thesemantics to the user by using the speech recognizing unit of theinteraction device, for example, finally outputs, for example, “Old Huis not online” in a form of speech information to notify the user. Inthis process, the third-party application may require a userauthentication, and a user account and a password are required to beinput, where this kind of information is fed back by the third-partyapplication to the user by using the sending unit of the server and thespeech recognizing unit of the interaction device; and the user inputs acorresponding account and password by means of speech or keyboard.

Text information interacted between the foregoing units such as thespeech recognizing unit and the parsing unit may be decoded code and maybe presented to the user in a form of speech or onscreen text.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

Optionally, in another sixth embodiment, a difference between thisembodiment and the fourth and fifth embodiments lies in that athird-party application itself also supports a speech recognitionfunction and can execute a related operation according to speech inputof a user. Therefore, processes of recognizing and starting acorresponding third-party application according to a speech signal ofthe user in the sixth embodiment are the same as that in the fourthembodiment, refer to the fifth embodiment, and for brevity, details arenot repeatedly described herein. A difference lies in a process ofexecuting a task by the third-party application after the third-partyapplication is started in the sixth embodiment.

After the third-party application is started, because the third-partyapplication itself has the speech recognition function, it can directlyreceive a speech signal of the user, and execute a related operationaccording to the command. The third-party application receives thespeech signal of the user, converts the speech signal to obtain a text,completes parsing of semantics of the text, and executes a taskcorresponding to the semantics. The third-party application implementssemantic analysis and task execution by using a third-party servercorresponding to the third-party application. When according to asemantics command of the text, the third-party application needs toinvoke a resource of an interaction device, the third-party applicationcontacts the interaction device by using an API defined by an operatingsystem of the interaction device, and starts the related resource, forexample, invokes a camera and a microphone to perform videocommunication. In this case, if the third-party application started bythe interaction device is QQ, and a corresponding third-party server is,for example, a server of Tencent, communication between the third-partyapplication and the third-party server may be a private interface and aprotocol that are defined by a third party itself. If the third-partyapplication is a map and the third-party application needs to invoke GPSinformation of the interaction device, address information of theinteraction device can be queried by using a corresponding API, and forspecific map information, corresponding map information can be acquiredby the third-party application by accessing a third-party server of thethird-party application.

FIG. 7 is a schematic block diagram of an interaction device 70 forspeech recognition according to a seventh embodiment of the presentinvention. The interaction device 70 may include a parsing unit 71, adetermining unit 72, a starting unit 73, a storage unit 74, and thelike. For example, the interaction device may be an apparatus such as amobile terminal or a tablet computer (Tablet PC).

The parsing unit 71 parses one or more first texts to obtain firsttarget semantics, where the first text is obtained through conversionfrom a first speech signal.

The determining unit 72 determines, according to the first targetsemantics acquired by the parsing unit, a third-party application objectcorresponding to the first target semantics, where a third-partyapplication that is associated with the third-party application objectis a program that is not authorized to start by means of speech beforedelivery of a device.

The starting unit 73 accesses the storage unit, acquires, from athird-party application registry stored by the storage unit, athird-party application that is associated with the determinedthird-party application object, and starts the third-party application.

The storage unit 74 stores the third-party application registry and thethird-party application.

The interaction device 70 can execute the speech recognition method inthe first embodiment of the present invention. The details are notrepeatedly described herein.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

FIG. 8 is a schematic block diagram of an interaction device 80 forspeech recognition according to an eighth embodiment of the presentinvention. The interaction device 80 includes a speech recognizing unit81, a parsing unit 82, a determining unit 83, a starting unit 84, astorage unit 85 and a generating unit 86, and a sending unit 87 and areceiving unit 88. The parsing unit 82, the determining unit 83, thestarting unit 84, and the storage unit 85 of the interaction device 80are the same as or similar to the parsing unit 71, the determining unit72, the starting unit 73, and the storage unit 74 of the interactiondevice 70. A difference lies in that the interaction device 80 furtherincludes the speech recognizing unit 81, the generating unit 86, thesending unit 87, and the receiving unit 88.

The speech recognizing unit 82 converts a first speech signal to obtainone or more first texts and sends the one or more first texts to theparsing unit 82.

Before the interaction device acquires, from a third-party applicationregistry, a third-party application that is associated with a determinedthird-party application object and starts the third-party application,the generating unit 86 generates the third-party application registryand sends the third-party application registry to the storage unit 85.

The parsing unit 82 specifically converts the first speech signal toobtain at least two first texts, scores semantics of each first text ofthe at least two first texts according to a predetermined scoring ruleand according to naturalness and coherence of the semantics of the atleast two first texts, where a higher score represents betternaturalness and coherence of the semantics, and acquires, from thesemantics of the at least two first texts, semantics with a highestscore and of the first text as the first target semantics.

The parsing unit 82 specifically acquires, from the semantics of the atleast two first texts, semantics, with a highest score, of the firsttext and exceeds a preset threshold as the first target semantics.

The determining unit 83 specifically determines, according to the firsttarget semantics, all third-party application objects corresponding tothe first target semantics, and if the number of the third-partyapplication objects is greater than or equal to two, acquiresinformation about all the third-party application objects that areassociated with the first target semantics; the sending unit 87 sendsprompt information, where the prompt information includes theinformation about the third-party application objects and is used toprompt a user to further send, according to the information about thethird-party application objects, a selection instruction, so that thedetermining unit 83 selects a target third-party application object fromall the third-party application objects that are associated with thefirst target semantics; the receiving unit 88 receives the selectioninstruction, and the determining unit 83 specifically selects acorresponding target third-party application object according to thereceived selection instruction; and the starting unit specificallyacquires, from the third-party application registry stored by thestorage unit, a third-party application that is associated with thetarget third-party application object and starts the third-partyapplication.

The speech recognizing unit 81 further converts, when the selectioninstruction is a second speech signal, the second speech signal toobtain a second text and sends the second text to the parsing unit 82;the parsing unit 82 further parses the second text to acquire secondtarget semantics; and the determining unit 83 determines a correspondingtarget third-party application object according to the second targetsemantics.

After starting the third-party application, the starting unit 84 furthersends a semantics command of the first target semantics to thethird-party application, so that the third-party application invokes,according to the semantics command of the first target semantics, athird-party application interface API that matches the startedthird-party application.

The interaction device 80 implements the speech recognition method inthe first, second, or third embodiment of the present invention. Forbrevity, details are not repeatedly described herein.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

FIG. 9 is a schematic block diagram of a server 90 for speechrecognition according to a ninth embodiment of the present invention.The server 90 includes a parsing unit 91, a determining unit 92, astarting unit 93, a storage unit 94, and the like. The server 90provides support service for an interaction device.

The parsing unit 91 parses one or more first texts to obtain firsttarget semantics, where the first text is obtained through conversionfrom a first speech signal.

The determining unit 92 determines, according to the first targetsemantics acquired by the parsing unit, a third-party application objectcorresponding to the first target semantics, where a third-partyapplication that is associated with the third-party application objectis a program that is not authorized to start by means of speech beforedelivery of a device.

The starting unit 93 acquires, from a third-party application registrystored by the storage unit 92, a third-party application that isassociated with the determined third-party application object and startsthe third-party application.

The storage unit 92 stores the third-party application registry and thethird-party application.

The server 90 implements the speech recognition method in the firstembodiment of the present invention. For brevity, the details are notrepeatedly described herein.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

FIG. 10 is a schematic block diagram of a server 100 for speechrecognition according to a tenth embodiment of the present invention.The server 100 includes a parsing unit 101, a determining unit 102, astarting unit 103, a storage unit 104 and a generating unit 105, asending unit 106 and a receiving unit 107, and the like. The parsingunit 101, the determining unit 102, the starting unit 103, and thestorage unit 104 of the server 100 are the same as or similar to theparsing unit 91, the determining unit 92, the starting unit 93, and thestorage unit 94 of the server 90. A difference lies in that the server100 further includes the generating unit 105, the sending unit 106, andthe receiving unit 107.

Before the server acquires, from a third-party application registry, athird-party application that is associated with a determined third-partyapplication object and starts the third-party application, thegenerating unit 105 generates the third-party application registry andsends the third-party application registry to the storage unit 104.

The parsing unit 101 specifically scores, according to a predeterminedscoring rule and according to naturalness and coherence of semantics ofat least two first texts that are obtained through conversion from afirst speech signal, semantics of each first text of the at least twofirst texts, where a higher score represents better naturalness andcoherence of the semantics, and acquires, from the at least two firsttexts, semantics with a highest score and of the first text as the firsttarget semantics.

The parsing unit 101 specifically acquires, from the semantics of the atleast two first texts, semantics, with a highest score, of the firsttext and exceeds a preset threshold as the first target semantics.

The determining unit 102 further determines, according to the firsttarget semantics, all third-party application objects corresponding tothe first target semantics, and if the number of the third-partyapplication objects is greater than or equal to two, acquiresinformation about all the third-party application objects that areassociated with the first target semantics; the sending unit 106 sendsprompt information, where the prompt information includes theinformation about the third-party application objects and is used toprompt a user to further send, according to the information about thethird-party application objects, a selection instruction, so that thedetermining unit 101 selects a target third-party application objectfrom all the third-party application objects that are associated withthe first target semantics; the receiving unit 107 receives theselection instruction, and the determining unit 101 selects acorresponding target third-party application object according to thereceived selection instruction; and the starting unit 103 acquires, fromthe third-party application registry stored by the storage unit 104, athird-party application that is associated with the target third-partyapplication object and starts the third-party application.

The parsing unit 101 further parses, when the selection instruction is asecond speech signal, the second text to acquire second targetsemantics, where the second text is obtained through conversion from thesecond speech signal; and the determining unit 102 determines acorresponding target third-party application object according to thesecond target semantics.

After starting the third-party application, the starting unit 103further sends a semantics command of the first target semantics to thethird-party application, so that the third-party application invokes,according to the semantics command of the first target semantics, athird-party application interface API that matches the startedthird-party application.

After the starting unit 103 starts the third-party application, so thatthe third-party application converts the third speech signal to obtain athird text, and invokes, according to a semantics command of the thirdtext, a third-party application interface API that matches the startedthird-party application, so that the started third-party applicationacquires a required hardware or software resource by using the API.

The receiving unit 107 further receives, before a first text is parsedto obtain the first target semantics, the first text sent by aninteraction device.

The sending unit 106 sends a response feedback to the interaction deviceafter the third-party application is started.

The server 100 implements the speech recognition method in the first,fifth, or sixth embodiment of the present invention. For brevity,details are not repeatedly described herein.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

FIG. 11 is a schematic block diagram of an apparatus 110 for speechrecognition according to an eleventh embodiment of the presentinvention. The apparatus 110 includes a processor 111, a memory 112, andthe like.

The memory 112 may include a RAM and a ROM, or any fixed storage mediumor portable storage medium, which is configured to store a program thatcan execute embodiments of the present invention, data to be processedin the embodiments of the present invention, a third-party application,or the like.

The processor 111 is configured to execute a program, which is stored bythe memory 112, of the embodiments of the present invention and performbidirectional communication with another apparatus by using, forexample, a bus.

In an implementation manner of the apparatus 110, the processor 111parses one or more first texts to obtain first target semantics, wherethe first text is obtained through conversion from a first speechsignal; determines, according to the acquired first target semantics, athird-party application object corresponding to the first targetsemantics, where a third-party application that is associated with thethird-party application object is a program that is not authorized tostart by means of speech before delivery of a device; and accesses thememory, acquires, from a third-party application registry stored by thememory, a third-party application that is associated with the determinedthird-party application object, and starts the third-party application.The memory 112 stores the third-party application registry and thethird-party application, and the processor 111 executes an instructionof the foregoing method.

When the apparatus 110 may further include a device or a module thatcollects speech signals, for example, a microphone, the processor 111converts a first speech signal collected by the microphone or the liketo obtain one or more first texts.

In addition, the processor 111 specifically converts the first speechsignal to obtain at least two first texts, scores semantics of eachfirst text of the at least two first texts according to a predeterminedscoring rule and according to naturalness and coherence of the semanticsof the at least two first texts, where a higher score represents betternaturalness and coherence of the semantics, and acquires, from thesemantics of the at least two first texts, semantics with a highestscore and of the first text as the first target semantics.

The processor 111 specifically acquires, from the semantics of the atleast two first texts, semantics, with a highest score, of the firsttext and exceeds a preset threshold as the first target semantics.

The processor 111 further determines, according to the first targetsemantics, all third-party application objects corresponding to thefirst target semantics; and if the number of the third-party applicationobjects is greater than or equal to two, acquires information about allthe third-party application objects that are associated with the firsttarget semantics; sends prompt information, where the prompt informationincludes the information about the third-party application objects andis used to prompt a user to further send, according to the informationabout the third-party application objects, a selection instruction, soas to select a target third-party application object from all thethird-party application objects that are associated with the firsttarget semantics; receives the selection instruction, selects acorresponding target third-party application object according to thereceived selection instruction; and acquires, from the third-partyapplication registry stored by the memory 112, a third-party applicationthat is associated with the target third-party application object andstarts the third-party application.

The processor 111 further converts, when the selection instruction is asecond speech signal, the second speech signal to obtain a second text,parses the second text to acquire second target semantics, anddetermines a corresponding target third-party application objectaccording to the second target semantics.

Before acquiring, from the third-party application registry, thethird-party application that is associated with the determinedthird-party application object and starting the third-party application,the processor 111 generates the third-party application registry.

After starting the third-party application, the processor 111 furthersends a semantics command of the first target semantics to thethird-party application, so that the third-party application invokes,according to the semantics command of the first target semantics, athird-party application interface API that matches the startedthird-party application.

Before the apparatus 110 acquires, from the third-party applicationregistry, the third-party application that is associated with thedetermined third-party application object and starts the third-partyapplication, the processor 111 generates the third-party applicationregistry and sends the third-party application registry to the memory112.

In another implementation manner, when the apparatus 110 does notinclude a device or a module that collects speech signals, for example,a microphone, the processor 111 further receives, before parsing a firsttext to obtain first target semantics, the first text sent by anotherapparatus; parses the first text to obtain the first target semantics,where optionally, the first text is obtained through conversion from afirst speech signal and at least two first texts are obtained;determines, according to the acquired first target semantics, athird-party application object corresponding to the first targetsemantics; and acquires, from a third-party application registry storedby the memory 112, a third-party application that is associated with thedetermined third-party application object and starts the third-partyapplication. The memory 112 stores the third-party application registryand the third-party application, and the processor 111 executes aninstruction of the foregoing method.

The processor 111 generates, when a third-party application is installedon the apparatus 1100 or after the apparatus 110 is powered on, thethird-party application registry and sends the third-party applicationregistry to the memory 112.

The processor 111 specifically scores, according to a predeterminedscoring rule and according to naturalness and coherence of the semanticsof at least two first texts that are obtained through conversion fromthe first speech signal, semantics of each first text of the at leasttwo first texts, where a higher score represents better naturalness andcoherence of the semantics; and acquires, from the semantics of the atleast two first texts, semantics with a highest score and of the firsttext whose score as the first target semantics.

The processor 111 specifically acquires, from the semantics of the atleast two first texts, semantics, with a highest score, of the firsttext and exceeds a preset threshold as the first target semantics.

The processor 111 further determines, according to the first targetsemantics, all third-party application objects corresponding to thefirst target semantics; and if the number of the third-party applicationobjects is greater than or equal to two, acquires information about allthe third-party application objects that are associated with the firsttarget semantics; sends prompt information, where the prompt informationincludes the information about the third-party application objects andis used to prompt a user to further send, according to the informationabout the third-party application objects, a selection instruction, soas to select a target third-party application object from all thethird-party application objects that are associated with the firsttarget semantics; receives the selection instruction, selects thecorresponding target third-party application object according to thereceived selection instruction; and acquires, from the third-partyapplication registry stored by the memory 112, a third-party applicationthat is associated with the target third-party application object andstarts the third-party application.

The processor 111 further parses, when the selection instruction is asecond speech signal, the second text to acquire second targetsemantics, where the second text is obtained through conversion from thesecond speech signals; and determines a corresponding target third-partyapplication object according to the second target semantics.

After starting the third-party application, the processor 111 furthersends a semantics command of the first target semantics to thethird-party application, so that the third-party application invokes,according to the semantics command of the first target semantics, athird-party application interface API that matches the startedthird-party application.

After the processor 111 starts the third-party application, so that thethird-party application converts the third speech signal to obtain athird text, and invokes, according to a semantics command of the thirdtext, a third-party application interface API that matches the startedthird-party application, so that the started third-party applicationacquires a required hardware or software resource by using the API.

After starting the third-party application, the processor 111 sends aresponse feedback to the another apparatus.

The apparatus 110 implements the speech recognition method in the first,second, third, fifth, or sixth embodiment of the present invention, andas a specific implementation form, it may be, for example, a mobileterminal, a tablet computer, or a server.

According to this embodiment of the present invention, with a speechrecognition function, a third-party application corresponding to aspeech signal of a user can be determined according to the speech signaland by means of semantic analysis; and third-party application registryinformation is searched for and a third-party program is started, sothat the user does not need to tap the third-party application to startthe corresponding program, thereby providing more intelligent servicefor the user and facilitating use for the user.

An embodiment of the present invention further provides a system forspeech recognition, which may include any one apparatus of the apparatus110, the interaction device 70, the interaction device 80, the server90, and the server 100 in the foregoing embodiments. For brevity,details are not repeatedly described herein.

A person of ordinary skill in the art may be aware that, in combinationwith the examples described in the embodiments disclosed in thisspecification, units and algorithm steps may be implemented byelectronic hardware or a combination of computer software and electronichardware. Whether the functions are performed by hardware or softwaredepends on particular applications and design constraint conditions ofthe technical solutions. A person skilled in the art may use differentmethods to implement the described functions for each particularapplication, but it should not be considered that the implementationgoes beyond the scope of the present invention.

It may be clearly understood by a person skilled in the art that, forthe purpose of convenient and brief description, for a detailed workingprocess of the foregoing system, apparatus, and unit, reference may bemade to a corresponding process in the foregoing method embodiments, anddetails are not described herein again.

In the several embodiments provided in the present application, itshould be understood that the disclosed system, apparatus, and methodmay be implemented in other manners. For example, the describedapparatus embodiment is merely exemplary. For example, the unit divisionis merely logical function division and may be other division in actualimplementation. For example, a plurality of units or components may becombined or integrated into another system, or some features may beignored or not performed. In addition, the displayed or discussed mutualcouplings or direct couplings or communication connections may beimplemented by using some interfaces. The indirect couplings orcommunication connections between the apparatuses or units may beimplemented in electronic, mechanical, or other forms.

The units described as separate parts may or may not be physicallyseparate, and parts displayed as units may or may not be physical units,may be located in one position, or may be distributed on a plurality ofnetwork units. A part or all of the units may be selected according toactual needs to achieve the objectives of the solutions of theembodiments.

In addition, functional units in the embodiments of the presentinvention may be integrated into one processing unit, or each of theunits may exist alone physically, or two or more units are integratedinto one unit.

When the functions are implemented in a form of a software functionalunit and sold or used as an independent product, the functions may bestored in a computer-readable storage medium. Based on such anunderstanding, the technical solutions of the present inventionessentially, or the part contributing to the prior art, or a part of thetechnical solutions may be implemented in a form of a software product.The software product is stored in a storage medium, and includes severalinstructions for instructing a computer device (which may be a personalcomputer, a server, or a network device) to perform all or a part of thesteps of the methods described in the embodiments of the presentinvention. The foregoing storage medium includes: any medium that canstore program code, such as a USB flash drive, a removable hard disk, aread-only memory (ROM), a random access memory (RAM), a magnetic disk,or an optical disc.

The foregoing descriptions are merely specific implementation manners ofthe present invention, but are not intended to limit the protectionscope of the present invention. Any variation or replacement readilyfigured out by a person skilled in the art within the technical scopedisclosed in the present invention shall fall within the protectionscope of the present invention. Therefore, the protection scope of thepresent invention shall be subject to the protection scope of theclaims.

What is claimed is:
 1. A speech recognition method performed by a processor, the method comprising: parsing one or more first texts to obtain first target semantics, wherein the one or more first texts is or are obtained through conversion from a first speech signal; determining, according to the obtained first target semantics, a third-party application object associated with the first target semantics, wherein a third-party application that is associated with the third-party application object is a program that is not authorized to start by speech in a device from its original producer; and acquiring, from a third-party application registry, the third-party application, and starting the third-party application.
 2. The method according to claim 1, wherein before parsing the one or more first texts to obtain the first target semantics, the method further comprises: acquiring first speech signals and converting the first speech signals to obtain the one or more first texts.
 3. The method according to claim 2, wherein converting the first speech signals to obtain the one or more first texts comprises: converting the first speech signals to obtain at least two first texts; and wherein parsing the one or more first texts to obtain the first target semantics comprises: scoring semantics of each first text of the at least two first texts according to (a) a predetermined scoring rule and (b) naturalness and coherence of the semantics of the at least two first texts, wherein a higher score represents better naturalness and coherence of the semantics; and acquiring, from the semantics of the at least two first texts, semantics with a highest score of a first text as the first target semantics.
 4. The method according to claim 3, wherein acquiring, from the semantics of the at least two first texts, the semantics with the highest score of the first text as the first target semantics comprises: acquiring, from the semantics of the at least two first texts, the semantics, with the highest score of the first text and exceeding a preset threshold as the first target semantics.
 5. The method according to claim 1, wherein determining, according to the acquired the first target semantics, the third-party application object associated with the first target semantics comprises: determining, according to the first target semantics, all third-party application objects associated with the first target semantics; when a plurality of the third-party application objects is greater than or equal to two, acquiring information about all the third-party application objects that are associated with the first target semantics; sending prompt information, wherein the prompt information comprises the information about the third-party application objects and is used to prompt a user to send, a selection instruction, according to the information about the third-party application objects; and receiving the selection instruction from the user, and selecting a target third-party application object from all the third-party application objects according to the selection instruction; and wherein acquiring, from the third-party application registry, the third-party application that is associated with the determined third-party application object and starting the third-party application comprises: acquiring, from the third-party application registry, a target third-party application that is associated with the target third-party application object and starting the target third-party application.
 6. The method according to claim 5, wherein the selection instruction is a second speech signal; and wherein selecting the target third-party application object according to the received selection instruction comprises: converting the second speech signal to obtain a second text; parsing the second text to acquire second target semantics; and determining the target third-party application object according to the second target semantics.
 7. The method according to claim 1, wherein before acquiring, from the third-party application registry, the third-party application that is associated with the determined third-party application object and starting the third-party application, the method further comprises: generating the third-party application registry.
 8. The method according to claim 1, wherein after starting the third-party application, the method further comprises: sending a semantics command of the first target semantics to the started third-party application, so that the started third-party application invokes, according to the semantics command of the first target semantics, a third-party application interface (API) that matches the started third-party application, and the started third-party application acquires a required hardware or software resource by using the API.
 9. The method according to claim 1, wherein after starting the third-party application, the method further comprises: receiving, by the started third-party application, a third speech signal of the user; converting the third speech signal to obtain a third text; and invoking, according to a semantics command of the third text, a third-party application interface (API) that matches the started third-party application, so that the started third-party application acquires a required hardware or software resource by using the API.
 10. The method according to claim 1, wherein the method is executed by an interaction device.
 11. The method according to claim 1, wherein: a server executes the process of parsing the one or more first texts to obtain the first target semantics; and an interaction device executes the process of determining, according to the acquired first target semantics, the third-party application object associated with the first target semantics, and the process of acquiring, from the third-party application registry, the third-party application that is associated with the determined third-party application object and starting the third-party application.
 12. An interaction device for speech recognition, wherein the interaction device comprises a processor and a memory coupled to the processor and having computer-executable instructions stored thereon, which when executed cause the processor to implement operations including: parsing one or more first texts to obtain first target semantics, wherein the one or more first texts is or are obtained through conversion from a first speech signal; determining, according to the first target semantics obtained by the parsing unit, a third-party application object associated with the first target semantics, wherein a third-party application that is associated with the third-party application object is a program that is not authorized to start by speech in a device from its original producer; acquiring, from a third-party application registry, the third-party application, and start the third-party application; and storing the third-party application registry and the third-party application.
 13. The interaction device according to claim 12, wherein the operations further include: converting the first speech signals to obtain and send the one or more first texts.
 14. The interaction device according to claim 12, wherein the operations further include: converting the first speech signals to obtain and send at least two first texts; and scoring semantics of each first text of the at least two first texts according to (a) a predetermined scoring rule and (b) naturalness and coherence of the semantics of the at least two first texts, wherein a higher score represents better naturalness and coherence of the semantics; and acquiring, from the semantics of the at least two first texts, semantics with a highest score of a first text as the first target semantics.
 15. The interaction device according to claim 14, wherein the operations further include: acquiring, from the semantics of the at least two first texts, the semantics, with the highest score of the first text and exceeding a preset threshold as the first target semantics.
 16. The interaction device according to claim 12, wherein the operations further include: determining, according to the first target semantics, all third-party application objects associated with the first target semantics, and when a plurality of the third-party application objects is greater than or equal to two, acquire information about all the third-party application objects that are associated with the first target semantics; sending prompt information, wherein the prompt information comprises the information about the third-party application objects and is used to prompt a user to send, a selection instruction, according to the information about the third-party application objects; receiving the selection instruction sent by the user; selecting a target third-party application object from all the third-party application objects according to the received selection instruction; and acquiring, from the third-party application registry, a target third-party application that is associated with the target third-party application object and starting the target third-party application.
 17. The interaction device according to claim 16, wherein the operations further include: when the selection instruction is a second speech signal, converting the second speech signal to obtain and send a second text; and parsing the second text to acquire second target semantics; and determining the target third-party application object according to the second target semantics.
 18. The interaction device according to claim 12, wherein the operations further include: before acquiring, from the third-party application registry, the third-party application that is associated with the determined third-party application object and starting the third-party application, generating and sending the third-party application registry.
 19. The interaction device according to claim 12, wherein the operations further include: after starting the third-party application, sending a semantics command of the first target semantics to the started third-party application, so that the started third-party application invokes, according to the semantics command of the first target semantics, a third-party application interface (API) that matches the started third-party application.
 20. A non-transitory computer-readable medium, comprising processor-executable instructions, which when executed by a processor of a server, cause the processor to implement operations including: parsing one or more first texts to obtain first target semantics, wherein the one or more first texts is or are obtained through conversion from a first speech signal; determining, according to the first target semantics, a third-party application object associated with the first target semantics, wherein a third-party application that is associated with the third-party application object is a program that is not authorized to start by speech in a device from its original producer; acquiring, from a third-party application registry, a third-party application that is associated with the third-party application object, and starting the third-party application; and storing the third-party application registry and the third-party application.
 21. The non-transitory computer-readable medium according to claim 20, wherein the operations further include: scoring, according to (a) a predetermined scoring rule and (b) naturalness and coherence of semantics of at least two of the first texts that are obtained through conversion from the first speech signal, semantics of each first text of the at least two first texts, wherein a higher score represents better naturalness and coherence of the semantics; and acquire, from the semantics of the at least two first texts, semantics with a highest score of the first text as the first target semantics.
 22. The non-transitory computer-readable medium according to claim 21, wherein the operations further include: acquiring, from the semantics of the at least two first texts, the semantics, with the highest score of the first text and exceeding a preset threshold as the first target semantics.
 23. The non-transitory computer-readable medium according to claim 20, wherein the operations further include: determining, according to the first target semantics, all third-party application objects associated with the first target semantics, and when plurality of the third-party application objects is greater than or equal to two, acquire information about all the third-party application objects that are associated with the first target semantics; sending prompt information, wherein the prompt information comprises the information about the third-party application objects and is used to prompt a user to send, a selection instruction, according to the information about the third-party application objects; receiving the selection instruction sent by the user; and selecting a target third-party application object from all the third-party application objects according to the received selection instruction; and acquiring, from the third-party application registry, a target third-party application that is associated with the target third-party application object and starting the target third-party application.
 24. The non-transitory computer-readable medium according to claim 23, wherein the operations further include: when the selection instruction is a second speech signal, parsing the second text to acquire second target semantics, wherein the second text is obtained through conversion from the second speech signals; and determining the target third-party application object according to the second target semantics.
 25. The non-transitory computer-readable medium according to claim 20, wherein the operations further include: before acquiring, from the third-party application registry, the third-party application that is associated with the determined third-party application object and starting the third-party application, generating and sending the third-party application registry.
 26. The non-transitory computer-readable medium according to claim 20, wherein the operations further include: after starting the third-party application, sending a semantics command of the first target semantics to the started third-party application, so that the started third-party application invokes, according to the semantics command of the first target semantics, a third-party application interface (API) that matches the started third-party application.
 27. The non-transitory computer-readable medium according to claim 20, wherein the operations further include: after starting the third-party application, converting the third speech signal to obtain a third text, and invoking, according to a semantics command of the third text, a third-party application interface (API) that matches the started third-party application, so that the started third-party application acquires a required hardware or software resource by using the API.
 28. The non-transitory computer-readable medium according to claim 20, wherein the operations include: receiving, before the first text is parsed to obtain the first target semantics, the first text sent by an interaction device.
 29. The non-transitory computer-readable medium according to claim 20, wherein the operations include: sending a response feedback to the interaction device after the third-party application is started. 